Meta Llama 3 70B Instruct FP8 by neuralmagic

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Rank the Meta Llama 3 70B Instruct FP8 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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Data Analysis and Insight Generation  
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Meta Llama 3 70B Instruct FP8 (neuralmagic/Meta-Llama-3-70B-Instruct-FP8)

Quantized Models of the Meta Llama 3 70B Instruct FP8

...Llama 3 70B Instruct GPTQ Int827474 GB

Best Alternatives to Meta Llama 3 70B Instruct FP8

Best Alternatives
HF Rank
Llama3 TenyxChat 70B78.48K / 141.9 GB352161
Llama 3 70B Instruct DPO V0.178.118K / 141.9 GB5267
Dolphin 2.2 70B70.64K / 138 GB44649
SOLAR 0 70B 16bit70.114K / 138 GB3071253
...oLLM Llama3 70B 2.4bpw H6 EXL268.38K / 23.5 GB80
...oLLM Llama3 70B 4.0bpw H6 EXL268.38K / 37.2 GB50
Llama3 70B Instruct 4bit68.38K / 39.7 GB6151
...LLM Llama3 70B 4.65bpw H6 EXL268.38K / 42.7 GB50
...oLLM Llama3 70B 6.0bpw H6 EXL268.38K / 54.4 GB150
Meta Llama 3 70B Instruct GPTQ68.38K / 39.8 GB615116
Note: green Score (e.g. "73.2") means that the model is better than neuralmagic/Meta-Llama-3-70B-Instruct-FP8.

Meta Llama 3 70B Instruct FP8 Parameters and Internals

LLM NameMeta Llama 3 70B Instruct FP8
RepositoryOpen on ๐Ÿค— 
Model Size70b
Required VRAM72.7 GB
Model Typellama
Model Files  4.8 GB: 1-of-15   5.0 GB: 2-of-15   4.9 GB: 3-of-15   4.9 GB: 4-of-15   4.9 GB: 5-of-15   5.0 GB: 6-of-15   4.9 GB: 7-of-15   4.9 GB: 8-of-15   4.9 GB: 9-of-15   5.0 GB: 10-of-15   4.9 GB: 11-of-15   4.9 GB: 12-of-15   4.9 GB: 13-of-15   5.0 GB: 14-of-15   3.8 GB: 15-of-15
Model ArchitectureLlamaForCausalLM
Context Length8192
Model Max Length8192
Transformers Version4.41.1
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Initializer Range0.02
Torch Data Typebfloat16

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801